Novosadova
2019
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Novosadova trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- L. V. D. van der Maaten (in Computer Vision and Pattern Recognition)
Papers from Novosadova's perspective
Ordered by how strongly the researchers Novosadova trusts endorse each paper. Same corpus, a different order for every researcher.
- Accelerating t-SNE using tree-based algorithms
- UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
- Computational flow cytometry: helping to make sense of high-dimensional immunology data (Nature reviews. Immunology)
- Data-driven phenotypic dissection of AML reveals progenitor-like cells that correlate with prognosis
- Approximated and User Steerable tSNE for Progressive Visual Analytics
- Dimensionality reduction for visualizing single-cell data using UMAP
- FlowSOM: Using self‐organizing maps for visualization and interpretation of cytometry data
- Comparison of Clustering Methods for High-Dimensional Single-Cell Flow and Mass Cytometry Data
- Automated Optimal Parameters for T-Distributed Stochastic Neighbor Embedding Improve Visualization and Allow Analysis of Large Datasets
- Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding